kushagra06 / CS228_PGM
🌀 Stanford CS 228 - Probabilistic Graphical Models
☆122Updated 6 years ago
Alternatives and similar repositories for CS228_PGM:
Users that are interested in CS228_PGM are comparing it to the libraries listed below
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆129Updated 7 months ago
- ☆222Updated 2 years ago
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆33Updated 7 years ago
- 🌀 Stanford CS 228 - Probabilistic Graphical Models☆81Updated 6 years ago
- 🦍 Stanford CS236 : Deep Generative Models☆133Updated 6 years ago
- Course webpage for PGM, Spring 2019.☆76Updated 4 years ago
- More PRML Errata☆80Updated 2 years ago
- Course notes☆680Updated 11 months ago
- CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning☆175Updated 3 years ago
- The newest reading list for representation learning☆115Updated 4 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆291Updated last year
- ☆28Updated 6 years ago
- Solutions to "Machine Learning: A Probabilistic Perspective"☆160Updated 4 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆281Updated 5 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆150Updated last year
- ☆183Updated 2 years ago
- Repository for my convex optimization course.☆53Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆275Updated 6 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆45Updated 4 years ago
- Repository for the course Probabilistic Machine Learning at Tübingen University☆23Updated 4 years ago
- ☆77Updated last year
- Repository for ML in Practice Course at CMU (10-718)☆59Updated last year
- A curated list of awesome advice for computer science Ph.D. applicants.☆290Updated 3 years ago
- Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks☆84Updated 2 years ago
- Neural Networks and Deep Learning, NUS CS5242, 2021☆190Updated 3 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆91Updated 5 years ago
- Repository for my Big Data Optimization course☆34Updated 4 years ago
- lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"☆149Updated 5 years ago
- List of AI Residency & Research programs, Ph.D Fellowships, Research Internships☆158Updated 4 years ago